Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 8 new columns ({'causing hurt or', 'avoid service', 'commission of any of the offencesmentioned in sections 153 and 154, shall be punished with', 'order proceeding from any public servant legally competent, as such public servant, to issue', 'ceremony', 'of being married, knowing that he is not thereby lawfully married, shall be punished with', 'or from any person interested in the sufferer, any property or valuable security, or of', 'property taken'}) and 9 missing columns ({'Unnamed: 6', '10. In suits in which damages are claimed, any fact which will enable the Court to', 'Unnamed: 5', '32. When the Court has to form an opinion as to a law of any country, any statement', 'Relevancy of', 'Facts tending', '126. (1) In all civil proceedings the parties to the suit, and the husband or wife of any', 'Competency', 'Unnamed: 7'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Anupam007/Indian-Law/extracted_data (2).csv (at revision 80829417a2a3c2e901ff74cbdcb007410d01a96a)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              Unnamed: 0: string
              R: double
              Unnamed: 1: double
              Unnamed: 2: double
              Unnamed: 3: double
              Unnamed: 4: double
              of being married, knowing that he is not thereby lawfully married, shall be punished with: string
              ceremony: string
              or from any person interested in the sufferer, any property or valuable security, or of: string
              causing hurt or: string
              commission of any of the offencesmentioned in sections 153 and 154, shall be punished with: string
              property taken: string
              order proceeding from any public servant legally competent, as such public servant, to issue: string
              avoid service: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2583
              to
              {'Unnamed: 0': Value(dtype='string', id=None), 'R': Value(dtype='float64', id=None), 'Unnamed: 1': Value(dtype='float64', id=None), 'Unnamed: 2': Value(dtype='float64', id=None), 'Unnamed: 3': Value(dtype='float64', id=None), 'Unnamed: 4': Value(dtype='float64', id=None), 'Unnamed: 5': Value(dtype='float64', id=None), 'Unnamed: 6': Value(dtype='float64', id=None), 'Unnamed: 7': Value(dtype='float64', id=None), '10. In suits in which damages are claimed, any fact which will enable the Court to': Value(dtype='string', id=None), 'Facts tending': Value(dtype='string', id=None), '32. When the Court has to form an opinion as to a law of any country, any statement': Value(dtype='string', id=None), 'Relevancy of': Value(dtype='string', id=None), '126. (1) In all civil proceedings the parties to the suit, and the husband or wife of any': Value(dtype='string', id=None), 'Competency': Value(dtype='string', id=None)}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1420, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1052, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 8 new columns ({'causing hurt or', 'avoid service', 'commission of any of the offencesmentioned in sections 153 and 154, shall be punished with', 'order proceeding from any public servant legally competent, as such public servant, to issue', 'ceremony', 'of being married, knowing that he is not thereby lawfully married, shall be punished with', 'or from any person interested in the sufferer, any property or valuable security, or of', 'property taken'}) and 9 missing columns ({'Unnamed: 6', '10. In suits in which damages are claimed, any fact which will enable the Court to', 'Unnamed: 5', '32. When the Court has to form an opinion as to a law of any country, any statement', 'Relevancy of', 'Facts tending', '126. (1) In all civil proceedings the parties to the suit, and the husband or wife of any', 'Competency', 'Unnamed: 7'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Anupam007/Indian-Law/extracted_data (2).csv (at revision 80829417a2a3c2e901ff74cbdcb007410d01a96a)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Unnamed: 0
string
R
null
Unnamed: 1
null
Unnamed: 2
null
Unnamed: 3
null
Unnamed: 4
null
Unnamed: 5
null
Unnamed: 6
null
Unnamed: 7
null
10. In suits in which damages are claimed, any fact which will enable the Court to
string
Facts tending
string
32. When the Court has to form an opinion as to a law of any country, any statement
string
Relevancy of
string
126. (1) In all civil proceedings the parties to the suit, and the husband or wife of any
null
Competency
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
R
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
determine the amount of damages which ought to be awarded, is relevant.
to enable Court
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
of such law contained in a book purporting to be printed or published including in electronic
statements as
null
null
null
null
null
null
null
null
null
null
null
null
null
or digital form under the authority of the Government of such country and to contain any
to any law
null
null
null
null
null
null
null
null
null
null
null
null
null
null
contained in
null
null
null
null
null
null
null
null
null
null
null
null
null
such law, and any report of a ruling of the Courts of such country contained in a book
law books
null
null
null
null
null
null
null
null
null
null
null
null
null
including in electronic or digital form purporting to be a report of such rulings, is relevant.
including
null
null
null
null
null
null
null
null
null
null
null
null
null
null
electronic or
null
null
null
null
null
null
null
null
null
null
null
null
null
null
digital form.
null
null
null
null
null
null
null
null
null
null
null
null
null
How much of a statement is to be proved
null
null
null
null
null
null
null
null
null
null
null
null
null
null
33. When any statement of which evidence is given forms part of a longer statement,
What evidence
null
null
null
null
null
null
null
null
null
null
null
null
null
or of a conversation or part of an isolated document, or is contained in a document which
to be given
null
null
null
null
null
null
null
null
null
null
null
null
null
forms part of a book, or is contained in part of electronic record or of a connected series of
when statemen
null
null
null
null
null
null
null
null
null
null
null
null
null
null
forms part of a
null
null
null
null
null
null
null
null
null
null
null
null
null
letters or papers, evidence shall be given of so much and no more of the statement,
conversation,
null
null
null
null
null
null
null
null
null
null
null
null
null
conversation, document, electronic record, book or series of letters or papers as the Court
document,
null
null
null
null
null
null
null
null
null
null
null
null
null
considers necessary in that particular case to the full understanding of the nature and effect
electronic
null
null
null
null
null
null
null
null
null
null
null
null
null
of the statement, and of the circumstances under which it was made.
record, book or
null
null
null
null
null
null
null
null
null
null
null
null
null
null
series of letters
null
null
null
null
null
null
null
null
null
null
null
null
null
null
or papers.
null
null
null
null
null
null
null
null
null
null
null
null
null
Judgments of Courts when relevant
null
null
null
null
null
null
null
null
null
null
null
null
null
null
34. The existence of any judgment, order or decree which by law prevents any Court
Previous
null
null
null
null
null
null
null
null
null
null
null
null
null
from taking cognizance of a suit or holding a trial, is a relevant fact when the question is
judgments
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
R
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null

No dataset card yet

Downloads last month
6